NBDC Research ID: hum0351.v1

 

SUMMARY

Aims: To unravel the genetic and environmental background of moyamoya disease and to understand the pathophysiology of the disease by utilizing radiological evaluations. We will identify susceptibility genes other than RNF213. We also assess whether genetics affects radiological characteristics including collateral development, tortuosity of the main trunk of the arteries, and the extent of stenosis.

Methods: DNAs were extracted from the fecal samples obtained from participants using NucleoSpin DNA Stool Kit. DNAs was amplified using the 2-step tailed PCR to target the V3-V4 regions of bacterial 16S rRNA. The PCR amplicons were pooled to construct the sequencing library and the quality of the library was confirmed using Fragment Analyzer and dsDNA915 Reagent Kit. Sequencing was performed using the MiSeq Reagent Kit v3.

Participants/Materials: Fecal samples were collected from 27 patients with moyamoya disease, 7 patients with non-moyamoya intracranial large artery disease, and 15 control individuals.

 

Dataset IDType of DataCriteriaRelease Date
JGAS000540 Metagenome Controlled-access (Type I) 2022/09/08

*Release Note

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MOLECULAR DATA

JGAS000540

Participants/Materials:

27 patients with moyamoya disease (ICD10: I675)

7 patients with non-moyamoya intracranial large artery disease

15 control individuals

Targets Metagenome (16S rRNA)
Target Loci for Capture Methods V3-V4
Platform Illumina [MiSeq]
Library Source DNA extracted from fecal samples
Cell Lines -
Library Construction (kit name) 2-step tailed PCR (Ex Taq HS)
Fragmentation Methods -
Spot Type Paired-end
Read Length (without Barcodes, Adaptors, Primers, and Linkers) 300 bp
QC

- Removal of primers by FASTXToolkit

- Removal of low quality by sickle

Bacteria Identification Methods Greengene (ver.13_8)
Japanese Genotype-phenotype Archive Dataset ID JGAD000659
Total Data Volume 1.3 GB (txt)
Comments (Policies) NBDC policy

 

DATA PROVIDER

Principal Investigator: Yohei Mineharu

Affiliation: Department of Artificial Intelligence in Healthcare and Medicine, Kyoto University

Project / Group Name: -

Funds / Grants (Research Project Number):

NameTitleProject Number
- - -

 

PUBLICATIONS

TitleDOIDataset ID
1
2

 

USRES (Controlled-access Data)

Principal InvestigatorAffiliationCountry/RegionResearch TitleData in Use (Dataset ID)Period of Data Use